96 assistant-professor-computer-science-data-"St"-"St" Fellowship positions at University of Nottingham
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2 Oct 2025 Job Information Organisation/Company University of Nottingham Research Field Anthropology » Cultural anthropology Anthropology » Social anthropology Medical sciences » Other Sociology
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of Vocational Behavior and currently the Journal of Cross-Cultural Psychology. A recipient of a national top talent program, Professor Guan is dedicated to fostering research excellence in China. Dr. Yanze Liang
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This is a theoretical/computational postdoctoral position for the prediction and development of point defects in two-dimensional materials for applications in quantum technologies. Project
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, Economics; Excellent oral and written communication skills in English, including the ability to communicate with clarity on complex information. Excellent communication skills in Chinese is a plus. High
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2 Oct 2025 Job Information Organisation/Company University of Nottingham Research Field Medical sciences » Medicine Medical sciences » Other Neurosciences » Neurology Pharmacological sciences
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27 Sep 2025 Job Information Organisation/Company University of Nottingham Research Field Biological sciences » Other Medical sciences » Other Researcher Profile Recognised Researcher (R2) Country
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of the project covers the 13 OECD countries over an 18-month period (1 January 2020-30 June 2021). The work will consist of: gathering and compiling data on central and regional government policies in the fields
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. Ying Weng is Course Director for Computer Science with Artificial Intelligence, Professor in Computer Science. She obtained PhD in Signal & Information Processing at Chinese Academy of Sciences, and
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2 Oct 2025 Job Information Organisation/Company University of Nottingham Research Field Biological sciences » Biology Biological sciences » Other Chemistry » Computational chemistry Computer science
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proposals for both individual and collaborative projects, utilizing established methodologies and techniques to execute research effectively within the specified area; To analyze data meticulously, interpret